MacBook Pro (16-inch, 2023)
Geekbench AI Score
4242
Single Precision Score
6845
Half Precision Score
5374
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | January 28 2025 01:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1413
262.8 IPS |
|
|
Image Classification (HP)
|
100% |
2288
425.6 IPS |
|
|
Image Classification (Q)
|
96% |
1672
312.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2667
43.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2956
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12933
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25018
29.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
19883
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
1702
135.0 IPS |
|
|
Object Detection (HP)
|
97% |
2763
220.0 IPS |
|
|
Object Detection (Q)
|
94% |
2005
159.8 IPS |
|
|
Face Detection (SP)
|
100% |
3698
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
5951
70.7 IPS |
|
|
Face Detection (Q)
|
100% |
3440
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6361
49.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12236
94.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8287
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25221
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39233
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30100
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5230
193.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7228
266.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4529
167.2 IPS |
|
|
Text Classification (SP)
|
100% |
2359
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4046
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4024
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4685
80.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6410
110.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6532
112.9 IPS |
