MacBook Pro (16-inch, 2023)
Geekbench AI Score
4158
Single Precision Score
6674
Half Precision Score
5280
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | November 21 2024 08:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
2241
416.8 IPS |
|
|
Image Classification (Q)
|
96% |
1639
306.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1690
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2534
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2948
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12990
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
25319
29.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
19647
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
1677
133.1 IPS |
|
|
Object Detection (HP)
|
97% |
2698
214.8 IPS |
|
|
Object Detection (Q)
|
94% |
1996
159.1 IPS |
|
|
Face Detection (SP)
|
100% |
3575
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
5698
67.7 IPS |
|
|
Face Detection (Q)
|
100% |
3461
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6413
49.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12197
94.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8286
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24697
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38295
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29333
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5091
188.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6940
256.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4447
164.2 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3913
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3852
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4571
78.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6261
108.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6177
106.8 IPS |
