MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4151
Single Precision Score
6861
Half Precision Score
5568
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pythagoras |
| Upload Date | October 27 2024 02:44 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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 | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1569
291.7 IPS |
|
|
Image Classification (HP)
|
100% |
2790
518.8 IPS |
|
|
Image Classification (Q)
|
96% |
1938
361.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1885
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2923
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3322
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8953
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17268
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14879
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1837
145.7 IPS |
|
|
Object Detection (HP)
|
97% |
3195
254.4 IPS |
|
|
Object Detection (Q)
|
94% |
2293
182.7 IPS |
|
|
Face Detection (SP)
|
100% |
3780
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
6675
79.3 IPS |
|
|
Face Detection (Q)
|
100% |
4003
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7233
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13366
103.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9175
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22490
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32995
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27461
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5225
192.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5687
210.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4248
156.9 IPS |
|
|
Text Classification (SP)
|
100% |
2764
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4761
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4734
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3524
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6448
111.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6434
111.2 IPS |
