MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4745
Single Precision Score
7303
Half Precision Score
6289
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | blast |
| Upload Date | August 16 2024 07:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1504
279.7 IPS |
|
|
Image Classification (HP)
|
100% |
2377
442.1 IPS |
|
|
Image Classification (Q)
|
99% |
2384
444.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1836
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2668
43.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
2655
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16709
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
27192
31.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
20905
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
1967
156.0 IPS |
|
|
Object Detection (HP)
|
97% |
2922
232.7 IPS |
|
|
Object Detection (Q)
|
94% |
2187
174.3 IPS |
|
|
Face Detection (SP)
|
100% |
4021
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
6541
77.7 IPS |
|
|
Face Detection (Q)
|
100% |
3885
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7230
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12777
98.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
12669
98.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30589
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
42527
54.7 IPS |
|
|
Style Transfer (Q)
|
100% |
43900
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5730
211.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7554
278.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4946
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
2643
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4637
6.19 KIPS |
|
|
Text Classification (Q)
|
93% |
4513
6.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4743
81.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6883
118.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6943
120.0 IPS |
