MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4152
Single Precision Score
30096
Half Precision Score
33623
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | GPV67 |
| Upload Date | December 03 2024 11:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1590
295.6 IPS |
|
|
Image Classification (HP)
|
100% |
16036
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
17756
3.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1895
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21726
352.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
27236
441.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8984
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122817
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
119730
140.3 IPS |
|
|
Object Detection (SP)
|
100% |
1832
145.3 IPS |
|
|
Object Detection (HP)
|
100% |
17231
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
19651
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
3703
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
38525
457.8 IPS |
|
|
Face Detection (Q)
|
100% |
49897
592.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7239
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
96936
746.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
121841
952.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22451
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
225246
289.6 IPS |
|
|
Style Transfer (Q)
|
96% |
217782
281.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5284
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45898
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55901
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2739
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4768
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4722
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3533
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4493
77.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4644
80.2 IPS |
