MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
3980
Single Precision Score
21746
Half Precision Score
25065
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | vallieres |
| Upload Date | September 18 2024 03:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 3.86 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1504
279.8 IPS |
|
|
Image Classification (HP)
|
100% |
9797
1.82 KIPS |
|
|
Image Classification (Q)
|
97% |
15317
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1825
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14126
229.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16745
271.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8632
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
92505
107.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
86093
100.9 IPS |
|
|
Object Detection (SP)
|
100% |
1744
138.3 IPS |
|
|
Object Detection (HP)
|
100% |
13619
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
14904
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3507
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
25870
307.4 IPS |
|
|
Face Detection (Q)
|
100% |
37639
447.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6950
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
73739
568.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
98638
771.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20944
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
162932
209.5 IPS |
|
|
Style Transfer (Q)
|
96% |
169010
218.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5046
186.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38317
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43031
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
2853
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
5181
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5081
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3287
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2199
37.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2168
37.5 IPS |
