MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4170
Single Precision Score
6894
Half Precision Score
5597
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | tellumo |
| Upload Date | September 20 2024 12:35 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1598
297.2 IPS |
|
|
Image Classification (HP)
|
100% |
2826
525.6 IPS |
|
|
Image Classification (Q)
|
96% |
1953
364.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1895
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2861
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3326
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8963
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17253
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14896
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1847
146.5 IPS |
|
|
Object Detection (HP)
|
97% |
3231
257.2 IPS |
|
|
Object Detection (Q)
|
94% |
2312
184.2 IPS |
|
|
Face Detection (SP)
|
100% |
3746
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
6804
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
4006
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7287
56.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13405
103.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9206
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22447
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32990
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27379
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5249
193.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5678
209.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4249
156.9 IPS |
|
|
Text Classification (SP)
|
100% |
2792
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4885
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4867
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3538
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6454
111.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6463
111.7 IPS |
