MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
13752
Single Precision Score
15120
Half Precision Score
13725
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | August 31 2024 09:55 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.71 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7539
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7808
1.45 KIPS |
|
|
Image Classification (Q)
|
99% |
6979
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16207
262.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16874
273.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
16084
260.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
91423
106.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
95582
111.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
84689
99.2 IPS |
|
|
Object Detection (SP)
|
100% |
7564
600.0 IPS |
|
|
Object Detection (HP)
|
100% |
8185
649.2 IPS |
|
|
Object Detection (Q)
|
92% |
6815
543.9 IPS |
|
|
Face Detection (SP)
|
100% |
28625
340.1 IPS |
|
|
Face Detection (HP)
|
100% |
30797
365.9 IPS |
|
|
Face Detection (Q)
|
100% |
21559
256.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
39482
304.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
41274
318.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
41424
320.3 IPS |
|
|
Style Transfer (SP)
|
100% |
182439
234.5 IPS |
|
|
Style Transfer (HP)
|
100% |
200252
257.4 IPS |
|
|
Style Transfer (Q)
|
100% |
198992
255.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24115
890.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24935
920.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
18922
701.0 IPS |
|
|
Text Classification (SP)
|
100% |
343
457.9 IPS |
|
|
Text Classification (HP)
|
100% |
561
748.3 IPS |
|
|
Text Classification (Q)
|
93% |
557
747.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1679
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1702
29.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1955
33.8 IPS |
