MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4496
Single Precision Score
7620
Half Precision Score
6005
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | beret |
| Upload Date | April 09 2025 01:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 3.83 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1635
304.1 IPS |
|
|
Image Classification (HP)
|
100% |
2572
478.3 IPS |
|
|
Image Classification (Q)
|
96% |
1823
340.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1832
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2731
44.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3137
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16175
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
28110
32.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
22141
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
2023
160.5 IPS |
|
|
Object Detection (HP)
|
97% |
3153
251.0 IPS |
|
|
Object Detection (Q)
|
94% |
2226
177.4 IPS |
|
|
Face Detection (SP)
|
100% |
3940
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
6265
74.4 IPS |
|
|
Face Detection (Q)
|
100% |
3738
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7212
55.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12167
94.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8495
66.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31157
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
44004
56.6 IPS |
|
|
Style Transfer (Q)
|
96% |
34441
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5815
214.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8216
303.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5282
195.0 IPS |
|
|
Text Classification (SP)
|
100% |
2874
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5031
6.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4961
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2330
40.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7649
132.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7556
130.6 IPS |
