MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4173
Single Precision Score
30191
Half Precision Score
33957
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 08 2025 02:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1580
293.9 IPS |
|
|
Image Classification (HP)
|
100% |
16253
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
17691
3.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21902
355.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27440
444.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9006
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121739
142.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
120052
140.7 IPS |
|
|
Object Detection (SP)
|
100% |
1847
146.5 IPS |
|
|
Object Detection (HP)
|
100% |
17610
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
19944
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
3751
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
38689
459.7 IPS |
|
|
Face Detection (Q)
|
100% |
50465
599.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7269
56.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
96963
747.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
120874
945.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22350
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
224066
288.0 IPS |
|
|
Style Transfer (Q)
|
96% |
217579
280.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5299
195.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44599
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57724
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2771
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4834
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4852
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3558
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4551
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4718
81.5 IPS |
