MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
11609
Single Precision Score
13660
Half Precision Score
11884
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | October 13 2024 11:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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 | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5868
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
6285
1.17 KIPS |
|
|
Image Classification (Q)
|
97% |
5302
989.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7491
121.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10012
162.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10417
168.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
45210
52.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
48141
56.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
45504
53.3 IPS |
|
|
Object Detection (SP)
|
100% |
5938
471.0 IPS |
|
|
Object Detection (HP)
|
100% |
6295
499.3 IPS |
|
|
Object Detection (Q)
|
91% |
5234
418.3 IPS |
|
|
Face Detection (SP)
|
100% |
16913
201.0 IPS |
|
|
Face Detection (HP)
|
100% |
20581
244.5 IPS |
|
|
Face Detection (Q)
|
100% |
15963
189.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27059
208.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
29906
230.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
24881
194.5 IPS |
|
|
Style Transfer (SP)
|
100% |
92091
118.4 IPS |
|
|
Style Transfer (HP)
|
100% |
105504
135.6 IPS |
|
|
Style Transfer (Q)
|
96% |
98265
126.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14762
545.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16101
594.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12219
451.2 IPS |
|
|
Text Classification (SP)
|
100% |
2745
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4736
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4695
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2207
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2396
41.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1908
33.0 IPS |
