MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4140
Single Precision Score
6877
Half Precision Score
5999
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dokidoki0802 |
| Upload Date | September 24 2024 04:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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 | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1578
293.4 IPS |
|
|
Image Classification (HP)
|
100% |
2798
520.3 IPS |
|
|
Image Classification (Q)
|
99% |
2786
519.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2864
46.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
2871
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8872
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17235
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14680
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1833
145.4 IPS |
|
|
Object Detection (HP)
|
97% |
3206
255.2 IPS |
|
|
Object Detection (Q)
|
94% |
2291
182.6 IPS |
|
|
Face Detection (SP)
|
100% |
3721
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
6772
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3984
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7220
55.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13331
103.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
13333
103.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22233
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33224
42.7 IPS |
|
|
Style Transfer (Q)
|
100% |
33280
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5248
193.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5844
215.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4185
155.1 IPS |
|
|
Text Classification (SP)
|
100% |
2742
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4746
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4741
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3533
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6423
111.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6403
110.6 IPS |
