MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4167
Single Precision Score
29819
Half Precision Score
33565
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 05:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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% |
1581
294.1 IPS |
|
|
Image Classification (HP)
|
100% |
15768
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
18052
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1925
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21745
352.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
27344
443.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8974
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121220
141.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
119825
140.4 IPS |
|
|
Object Detection (SP)
|
100% |
1841
146.0 IPS |
|
|
Object Detection (HP)
|
100% |
17124
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
19399
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3760
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
37558
446.3 IPS |
|
|
Face Detection (Q)
|
100% |
48575
577.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7237
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
96416
742.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
120264
940.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22452
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
225533
289.9 IPS |
|
|
Style Transfer (Q)
|
96% |
217762
281.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5277
194.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44713
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56511
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2731
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4761
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4712
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3572
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4492
77.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4671
80.7 IPS |
