MacBook Pro (16-inch Late 2019)
Geekbench AI Score
2938
Single Precision Score
2942
Half Precision Score
378
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| Upload Date | January 05 2025 05:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5300M |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2378
442.2 IPS |
|
|
Image Classification (HP)
|
100% |
2458
457.2 IPS |
|
|
Image Classification (Q)
|
96% |
130
24.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (Q)
|
99% |
192
3.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
14934
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14400
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
1916
2.25 IPS |
|
|
Object Detection (SP)
|
100% |
2301
182.5 IPS |
|
|
Object Detection (HP)
|
100% |
2252
178.6 IPS |
|
|
Object Detection (Q)
|
92% |
150
12.0 IPS |
|
|
Face Detection (SP)
|
100% |
8709
103.5 IPS |
|
|
Face Detection (HP)
|
100% |
8618
102.4 IPS |
|
|
Face Detection (Q)
|
100% |
202
2.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
10224
78.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9764
75.2 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28684
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28428
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
37021
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4515
166.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5231
193.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6080
224.5 IPS |
|
|
Text Classification (SP)
|
100% |
333
444.9 IPS |
|
|
Text Classification (HP)
|
100% |
407
543.5 IPS |
|
|
Text Classification (Q)
|
93% |
478
642.2 IPS |
|
|
Machine Translation (SP)
|
100% |
484
8.34 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.54 IPS |
|
|
Machine Translation (Q)
|
98% |
391
6.75 IPS |
