MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4170
Single Precision Score
29706
Half Precision Score
33613
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 05:29 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% |
1589
295.4 IPS |
|
|
Image Classification (HP)
|
100% |
15815
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
18254
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21199
343.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26971
437.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8989
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120553
140.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
119572
140.1 IPS |
|
|
Object Detection (SP)
|
100% |
1841
146.0 IPS |
|
|
Object Detection (HP)
|
100% |
17085
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
19727
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
3736
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
37645
447.3 IPS |
|
|
Face Detection (Q)
|
100% |
49998
594.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7244
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
96778
745.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
120486
942.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22413
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
227813
292.9 IPS |
|
|
Style Transfer (Q)
|
96% |
219346
283.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5283
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44026
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55201
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2740
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4729
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4724
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3567
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4486
77.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4602
79.5 IPS |
