MacBook Pro (16-inch, 2023)
Geekbench AI Score
4252
Single Precision Score
6890
Half Precision Score
5400
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | January 08 2025 11:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1425
265.0 IPS |
|
|
Image Classification (HP)
|
100% |
2292
426.2 IPS |
|
|
Image Classification (Q)
|
96% |
1660
310.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1774
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2648
42.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2979
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13042
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
25978
30.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
19955
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
1699
134.8 IPS |
|
|
Object Detection (HP)
|
97% |
2809
223.6 IPS |
|
|
Object Detection (Q)
|
94% |
2027
161.6 IPS |
|
|
Face Detection (SP)
|
100% |
3677
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
6053
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3451
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6504
50.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12197
94.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8310
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24988
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38897
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30248
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5197
191.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7230
267.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4546
167.9 IPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4060
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4051
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4742
81.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6463
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6601
114.1 IPS |
