MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4796
Single Precision Score
24429
Half Precision Score
26672
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | August 17 2024 07:33 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1488
276.8 IPS |
|
|
Image Classification (HP)
|
100% |
16244
3.02 KIPS |
|
|
Image Classification (Q)
|
99% |
16733
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1851
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13776
223.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
13762
223.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16639
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
116559
136.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
113472
133.1 IPS |
|
|
Object Detection (SP)
|
100% |
1997
158.4 IPS |
|
|
Object Detection (HP)
|
100% |
15764
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17805
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3999
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
24593
292.2 IPS |
|
|
Face Detection (Q)
|
100% |
38221
454.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7311
56.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
83462
643.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
87654
677.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30722
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
164204
211.1 IPS |
|
|
Style Transfer (Q)
|
100% |
165409
212.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5965
220.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39952
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
53684
1.99 KIPS |
|
|
Text Classification (SP)
|
100% |
2767
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4925
6.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4765
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4755
81.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2777
47.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2763
47.7 IPS |
