MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
15629
Single Precision Score
19606
Half Precision Score
14685
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | JoshuaChung |
| Upload Date | October 24 2024 06:03 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 4.01 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7262
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
7869
1.46 KIPS |
|
|
Image Classification (Q)
|
99% |
6895
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13723
222.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14669
237.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
14184
229.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
66586
77.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
69650
81.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
62259
72.9 IPS |
|
|
Object Detection (SP)
|
100% |
7232
573.7 IPS |
|
|
Object Detection (HP)
|
100% |
7735
613.6 IPS |
|
|
Object Detection (Q)
|
91% |
6428
513.7 IPS |
|
|
Face Detection (SP)
|
100% |
26302
312.5 IPS |
|
|
Face Detection (HP)
|
100% |
30506
362.5 IPS |
|
|
Face Detection (Q)
|
100% |
21669
257.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
32675
251.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
34911
269.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
5855
45.3 IPS |
|
|
Style Transfer (SP)
|
100% |
144399
185.6 IPS |
|
|
Style Transfer (HP)
|
100% |
160634
206.5 IPS |
|
|
Style Transfer (Q)
|
100% |
157674
202.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21812
805.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22730
839.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
16872
625.1 IPS |
|
|
Text Classification (SP)
|
100% |
2773
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4845
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4830
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2415
41.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7164
123.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7310
126.3 IPS |
