MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2790
Single Precision Score
15349
Half Precision Score
15866
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | strangecargo |
| Upload Date | August 15 2024 08:34 PM |
| Views | 2 |
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 (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 3.98 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1169
217.5 IPS |
|
|
Image Classification (HP)
|
100% |
6988
1.30 KIPS |
|
|
Image Classification (Q)
|
99% |
7028
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
820
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6407
103.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
6380
103.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15218
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
102418
119.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
98579
115.6 IPS |
|
|
Object Detection (SP)
|
100% |
1323
104.9 IPS |
|
|
Object Detection (HP)
|
100% |
9472
751.4 IPS |
|
|
Object Detection (Q)
|
93% |
9521
759.7 IPS |
|
|
Face Detection (SP)
|
100% |
2336
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
12481
148.3 IPS |
|
|
Face Detection (Q)
|
100% |
14833
176.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4390
33.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
59582
459.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
61115
472.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15764
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
149160
191.7 IPS |
|
|
Style Transfer (Q)
|
100% |
148927
191.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4096
151.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19204
709.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23120
856.6 IPS |
|
|
Text Classification (SP)
|
100% |
1047
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2881
3.85 KIPS |
|
|
Text Classification (Q)
|
93% |
2834
3.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2137
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2724
46.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2717
46.9 IPS |
