MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
11631
Single Precision Score
13868
Half Precision Score
12229
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
6056
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
6439
1.20 KIPS |
|
|
Image Classification (Q)
|
97% |
5487
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7504
121.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10066
163.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10427
169.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
45386
53.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
48256
56.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
45739
53.6 IPS |
|
|
Object Detection (SP)
|
100% |
6011
476.8 IPS |
|
|
Object Detection (HP)
|
100% |
6471
513.3 IPS |
|
|
Object Detection (Q)
|
91% |
5336
426.4 IPS |
|
|
Face Detection (SP)
|
100% |
16759
199.1 IPS |
|
|
Face Detection (HP)
|
100% |
20769
246.8 IPS |
|
|
Face Detection (Q)
|
100% |
16025
190.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27247
209.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
30280
233.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
25300
197.7 IPS |
|
|
Style Transfer (SP)
|
100% |
92450
118.8 IPS |
|
|
Style Transfer (HP)
|
100% |
106021
136.3 IPS |
|
|
Style Transfer (Q)
|
96% |
98723
127.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14891
549.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16308
602.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12397
457.8 IPS |
|
|
Text Classification (SP)
|
100% |
2800
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4990
6.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4838
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2077
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2397
41.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2233
38.6 IPS |
