MacBook Pro (16-inch Late 2019)
Geekbench AI Score
728
Single Precision Score
1763
Half Precision Score
514
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | starkAhmed43 |
| Upload Date | February 20 2025 05:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5500M |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9980HK |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2920
543.0 IPS |
|
|
Image Classification (HP)
|
100% |
2982
554.6 IPS |
|
|
Image Classification (Q)
|
96% |
125
23.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
328
5.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
339
5.50 IPS |
|
|
Image Segmentation (Q)
|
99% |
214
3.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
18546
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19792
23.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
2214
2.59 IPS |
|
|
Object Detection (SP)
|
100% |
2759
218.8 IPS |
|
|
Object Detection (HP)
|
100% |
2709
214.9 IPS |
|
|
Object Detection (Q)
|
92% |
97
7.75 IPS |
|
|
Face Detection (SP)
|
100% |
7876
93.6 IPS |
|
|
Face Detection (HP)
|
100% |
5627
66.9 IPS |
|
|
Face Detection (Q)
|
100% |
228
2.71 IPS |
|
|
Depth Estimation (SP)
|
6% |
11
17.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2130
16.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
1964
15.3 IPS |
|
|
Style Transfer (SP)
|
22% |
162
6.10 IPS |
|
|
Style Transfer (HP)
|
100% |
4670
6.00 IPS |
|
|
Style Transfer (Q)
|
96% |
5896
7.61 IPS |
|
|
Image Super-Resolution (SP)
|
52% |
711
46.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1304
48.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1203
44.4 IPS |
|
|
Text Classification (SP)
|
96% |
255
341.8 IPS |
|
|
Text Classification (HP)
|
100% |
297
396.5 IPS |
|
|
Text Classification (Q)
|
93% |
289
387.7 IPS |
|
|
Machine Translation (SP)
|
100% |
339
5.85 IPS |
|
|
Machine Translation (HP)
|
100% |
248
4.28 IPS |
|
|
Machine Translation (Q)
|
98% |
247
4.26 IPS |
