MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
3841
Single Precision Score
5356
Half Precision Score
4472
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | jessefreeman |
| Upload Date | August 19 2024 10:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1706
317.3 IPS |
|
|
Image Classification (HP)
|
100% |
2056
382.4 IPS |
|
|
Image Classification (Q)
|
99% |
2056
383.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1465
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1434
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8569
10.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
16580
19.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
14379
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1845
146.3 IPS |
|
|
Object Detection (HP)
|
97% |
2575
205.0 IPS |
|
|
Object Detection (Q)
|
94% |
1973
157.2 IPS |
|
|
Face Detection (SP)
|
100% |
3491
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
5092
60.5 IPS |
|
|
Face Detection (Q)
|
100% |
3410
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6775
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9767
75.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
4314
33.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19506
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29457
37.9 IPS |
|
|
Style Transfer (Q)
|
100% |
29452
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5030
185.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4911
181.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4197
155.5 IPS |
|
|
Text Classification (SP)
|
100% |
2743
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4580
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4516
6.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2779
47.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4704
81.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4664
80.6 IPS |
