MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
9831
Single Precision Score
10801
Half Precision Score
9922
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | tha1isson |
| Upload Date | August 26 2024 06:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5691
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
6101
1.13 KIPS |
|
|
Image Classification (Q)
|
99% |
5468
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7429
120.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9678
156.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
9415
152.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
45105
52.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
48190
56.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
43501
51.0 IPS |
|
|
Object Detection (SP)
|
100% |
5767
457.4 IPS |
|
|
Object Detection (HP)
|
100% |
6068
481.3 IPS |
|
|
Object Detection (Q)
|
92% |
4879
389.4 IPS |
|
|
Face Detection (SP)
|
100% |
16003
190.1 IPS |
|
|
Face Detection (HP)
|
100% |
19606
233.0 IPS |
|
|
Face Detection (Q)
|
100% |
14431
171.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
27886
214.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
29606
228.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
29922
231.4 IPS |
|
|
Style Transfer (SP)
|
100% |
92041
118.3 IPS |
|
|
Style Transfer (HP)
|
100% |
105173
135.2 IPS |
|
|
Style Transfer (Q)
|
100% |
103895
133.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14641
540.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16186
597.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11752
435.4 IPS |
|
|
Text Classification (SP)
|
100% |
604
806.6 IPS |
|
|
Text Classification (HP)
|
100% |
622
829.7 IPS |
|
|
Text Classification (Q)
|
93% |
709
951.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2112
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2038
35.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2265
39.1 IPS |
