MacBook Pro (16-inch, 2023)
Geekbench AI Score
4176
Single Precision Score
6740
Half Precision Score
5321
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | October 28 2024 05:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
2240
416.5 IPS |
|
|
Image Classification (Q)
|
96% |
1654
308.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1687
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2577
41.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2952
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12953
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25070
29.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
19753
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
1702
135.0 IPS |
|
|
Object Detection (HP)
|
97% |
2714
216.0 IPS |
|
|
Object Detection (Q)
|
94% |
2017
160.8 IPS |
|
|
Face Detection (SP)
|
100% |
3660
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
5973
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3498
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6285
48.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12281
94.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8284
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24900
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38908
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29626
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5125
189.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6898
254.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4435
163.7 IPS |
|
|
Text Classification (SP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4005
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3958
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4553
78.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6249
108.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6215
107.4 IPS |
