MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4131
Single Precision Score
6882
Half Precision Score
5549
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | rc335 |
| Upload Date | October 20 2024 02:32 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 3.94 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1549
288.0 IPS |
|
|
Image Classification (HP)
|
100% |
2795
519.8 IPS |
|
|
Image Classification (Q)
|
96% |
1917
358.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3045
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3359
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8789
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17202
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14833
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1821
144.5 IPS |
|
|
Object Detection (HP)
|
97% |
3171
252.5 IPS |
|
|
Object Detection (Q)
|
94% |
2276
181.4 IPS |
|
|
Face Detection (SP)
|
100% |
3593
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
6437
76.5 IPS |
|
|
Face Detection (Q)
|
100% |
3891
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7155
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13336
103.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9106
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22215
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33391
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27557
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5198
191.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5873
216.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4263
157.4 IPS |
|
|
Text Classification (SP)
|
100% |
2791
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4884
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4928
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3603
62.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6250
108.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6213
107.4 IPS |
