MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
3965
Single Precision Score
5586
Half Precision Score
4813
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 14 2024 12:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1689
314.0 IPS |
|
|
Image Classification (HP)
|
100% |
2123
394.9 IPS |
|
|
Image Classification (Q)
|
96% |
1673
312.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1648
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1568
25.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2197
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8616
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17055
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14739
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1823
144.6 IPS |
|
|
Object Detection (HP)
|
97% |
2579
205.3 IPS |
|
|
Object Detection (Q)
|
94% |
1964
156.5 IPS |
|
|
Face Detection (SP)
|
100% |
3326
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
5133
61.0 IPS |
|
|
Face Detection (Q)
|
100% |
3377
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6733
51.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
9649
74.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
7392
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21459
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31735
40.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26256
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5049
186.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5855
216.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4371
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
2801
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4584
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4554
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3235
55.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4795
82.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4806
83.1 IPS |
