MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4857
Single Precision Score
7618
Half Precision Score
6115
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | pingwinator |
| Upload Date | May 18 2025 10:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1554
289.1 IPS |
|
|
Image Classification (HP)
|
100% |
2426
451.1 IPS |
|
|
Image Classification (Q)
|
96% |
1821
340.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1809
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2766
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3326
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16587
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
28790
33.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
22054
25.8 IPS |
|
|
Object Detection (SP)
|
100% |
1961
155.6 IPS |
|
|
Object Detection (HP)
|
97% |
2836
225.8 IPS |
|
|
Object Detection (Q)
|
94% |
2186
174.2 IPS |
|
|
Face Detection (SP)
|
100% |
4166
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
6616
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3848
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7187
55.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12551
97.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8922
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30244
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
44044
56.6 IPS |
|
|
Style Transfer (Q)
|
96% |
33725
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5976
220.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7724
285.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5153
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
3100
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5632
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5745
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4771
82.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7559
130.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7306
126.3 IPS |
