MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
18551
Single Precision Score
20766
Half Precision Score
18668
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tobyg |
| Upload Date | February 09 2025 01:09 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8128
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
8599
1.60 KIPS |
|
|
Image Classification (Q)
|
97% |
7321
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16912
274.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17892
290.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18352
297.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
92505
107.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
96881
113.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
90356
105.9 IPS |
|
|
Object Detection (SP)
|
100% |
7878
624.9 IPS |
|
|
Object Detection (HP)
|
100% |
8518
675.7 IPS |
|
|
Object Detection (Q)
|
91% |
7345
586.9 IPS |
|
|
Face Detection (SP)
|
100% |
33178
394.2 IPS |
|
|
Face Detection (HP)
|
100% |
36557
434.4 IPS |
|
|
Face Detection (Q)
|
100% |
27927
331.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
38533
296.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
41180
317.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
34717
271.3 IPS |
|
|
Style Transfer (SP)
|
100% |
188158
241.9 IPS |
|
|
Style Transfer (HP)
|
100% |
207800
267.1 IPS |
|
|
Style Transfer (Q)
|
96% |
189088
244.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25464
940.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25503
941.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21991
812.0 IPS |
|
|
Text Classification (SP)
|
100% |
2755
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
5033
6.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4882
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2856
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2926
50.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2930
50.6 IPS |
