MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4145
Single Precision Score
22286
Half Precision Score
27718
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 02:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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 | 4.02 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1567
291.4 IPS |
|
|
Image Classification (HP)
|
100% |
6994
1.30 KIPS |
|
|
Image Classification (Q)
|
97% |
16803
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1912
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15578
252.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18563
300.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8884
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
105064
122.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102440
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1819
144.2 IPS |
|
|
Object Detection (HP)
|
100% |
14406
1.14 KIPS |
|
|
Object Detection (Q)
|
91% |
18804
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3674
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
31229
371.1 IPS |
|
|
Face Detection (Q)
|
100% |
48798
579.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7195
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
91676
706.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
114653
896.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22361
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
194014
249.4 IPS |
|
|
Style Transfer (Q)
|
96% |
188641
243.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5255
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39227
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50049
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2827
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4882
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4901
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3526
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1723
29.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1721
29.7 IPS |
