MacBook Pro (16-inch Late 2019)
Geekbench AI Score
2988
Single Precision Score
3360
Half Precision Score
903
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| Upload Date | June 27 2025 11:35 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5500M |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9880H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2468
459.0 IPS |
|
|
Image Classification (HP)
|
100% |
2781
517.2 IPS |
|
|
Image Classification (Q)
|
96% |
100
18.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
249
4.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
240
3.89 IPS |
|
|
Image Segmentation (Q)
|
99% |
165
2.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
18858
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19878
23.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
1816
2.13 IPS |
|
|
Object Detection (SP)
|
100% |
2600
206.3 IPS |
|
|
Object Detection (HP)
|
100% |
2539
201.4 IPS |
|
|
Object Detection (Q)
|
92% |
118
9.43 IPS |
|
|
Face Detection (SP)
|
100% |
9308
110.6 IPS |
|
|
Face Detection (HP)
|
100% |
10051
119.4 IPS |
|
|
Face Detection (Q)
|
100% |
187
2.22 IPS |
|
|
Depth Estimation (SP)
|
100% |
12629
97.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12574
96.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
11454
89.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35499
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37426
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
48756
62.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3933
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7621
281.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6625
244.6 IPS |
|
|
Text Classification (SP)
|
100% |
232
309.2 IPS |
|
|
Text Classification (HP)
|
100% |
332
443.4 IPS |
|
|
Text Classification (Q)
|
93% |
324
434.8 IPS |
|
|
Machine Translation (SP)
|
100% |
496
8.55 IPS |
|
|
Machine Translation (HP)
|
100% |
455
7.84 IPS |
|
|
Machine Translation (Q)
|
98% |
459
7.93 IPS |
