MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
18081
Single Precision Score
19395
Half Precision Score
14670
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 04:43 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7787
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
7997
1.49 KIPS |
|
|
Image Classification (Q)
|
99% |
7333
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16677
270.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17497
283.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
16989
275.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
92020
107.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
94733
110.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
83568
97.9 IPS |
|
|
Object Detection (SP)
|
100% |
7638
605.8 IPS |
|
|
Object Detection (HP)
|
100% |
8253
654.6 IPS |
|
|
Object Detection (Q)
|
91% |
6845
547.0 IPS |
|
|
Face Detection (SP)
|
100% |
31804
377.9 IPS |
|
|
Face Detection (HP)
|
100% |
34869
414.3 IPS |
|
|
Face Detection (Q)
|
100% |
25527
303.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
38037
293.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
40727
313.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
6116
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
187102
240.5 IPS |
|
|
Style Transfer (HP)
|
100% |
203865
262.1 IPS |
|
|
Style Transfer (Q)
|
100% |
196329
252.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24419
901.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25014
923.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
18660
691.3 IPS |
|
|
Text Classification (SP)
|
100% |
2730
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4786
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4724
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2713
46.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1987
34.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2399
41.5 IPS |
