MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
2636
Single Precision Score
15706
Half Precision Score
17547
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | September 07 2024 03:38 PM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 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% |
1151
214.0 IPS |
|
|
Image Classification (HP)
|
100% |
7270
1.35 KIPS |
|
|
Image Classification (Q)
|
97% |
7287
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
851
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6407
103.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12778
207.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15320
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
102474
119.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
100098
117.3 IPS |
|
|
Object Detection (SP)
|
100% |
1191
94.4 IPS |
|
|
Object Detection (HP)
|
100% |
9546
757.2 IPS |
|
|
Object Detection (Q)
|
93% |
9603
766.2 IPS |
|
|
Face Detection (SP)
|
100% |
2230
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
12762
151.6 IPS |
|
|
Face Detection (Q)
|
100% |
14770
175.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4498
34.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
59524
458.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
69341
542.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15712
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
148457
190.8 IPS |
|
|
Style Transfer (Q)
|
96% |
140332
181.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3465
128.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19037
702.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23816
879.4 IPS |
|
|
Text Classification (SP)
|
100% |
908
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
3287
4.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3216
4.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1834
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2841
48.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2810
48.6 IPS |
