MacBook Pro (16-inch, 2023)
Geekbench AI Score
4195
Single Precision Score
6824
Half Precision Score
5325
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | December 29 2024 01:30 AM |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1401
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
2275
423.1 IPS |
|
|
Image Classification (Q)
|
96% |
1660
310.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1718
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2611
42.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2963
48.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12934
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25126
29.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
19303
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
1664
132.0 IPS |
|
|
Object Detection (HP)
|
97% |
2730
217.3 IPS |
|
|
Object Detection (Q)
|
94% |
2022
161.2 IPS |
|
|
Face Detection (SP)
|
100% |
3722
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
6084
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
3378
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6491
50.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12316
95.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8182
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24943
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38929
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30256
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5088
187.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7198
265.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4469
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4041
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4078
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4519
77.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6341
109.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6272
108.4 IPS |
