MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
18583
Single Precision Score
21294
Half Precision Score
19135
Quantized Score
Geekbench AI 1.3.0 Pro for macOS AArch64
Result Information
| User | iPhil |
| Upload Date | March 22 2025 01:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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% |
7541
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7707
1.43 KIPS |
|
|
Image Classification (Q)
|
96% |
7517
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19548
316.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20869
338.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19564
317.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
90808
106.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
94992
110.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
91408
107.1 IPS |
|
|
Object Detection (SP)
|
100% |
7060
560.0 IPS |
|
|
Object Detection (HP)
|
100% |
8060
639.3 IPS |
|
|
Object Detection (Q)
|
92% |
7128
569.0 IPS |
|
|
Face Detection (SP)
|
100% |
31203
370.8 IPS |
|
|
Face Detection (HP)
|
100% |
35250
418.9 IPS |
|
|
Face Detection (Q)
|
100% |
30212
359.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
37691
290.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
40666
313.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
37233
291.1 IPS |
|
|
Style Transfer (SP)
|
100% |
184082
236.6 IPS |
|
|
Style Transfer (HP)
|
100% |
203496
261.6 IPS |
|
|
Style Transfer (Q)
|
96% |
194335
250.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23912
883.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25932
957.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22407
827.4 IPS |
|
|
Text Classification (SP)
|
100% |
2676
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4802
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4824
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3753
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4286
73.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2907
50.2 IPS |
