MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4839
Single Precision Score
30853
Half Precision Score
33834
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | DSM2 |
| Upload Date | November 04 2024 10:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 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% |
1514
281.5 IPS |
|
|
Image Classification (HP)
|
100% |
15994
2.97 KIPS |
|
|
Image Classification (Q)
|
97% |
17305
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1848
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21893
354.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
27167
440.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16724
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120149
140.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
118684
139.1 IPS |
|
|
Object Detection (SP)
|
100% |
1987
157.6 IPS |
|
|
Object Detection (HP)
|
100% |
16840
1.34 KIPS |
|
|
Object Detection (Q)
|
91% |
16671
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
4280
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
38045
452.1 IPS |
|
|
Face Detection (Q)
|
100% |
49563
588.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7363
56.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
101088
778.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
114901
898.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30947
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
217751
279.9 IPS |
|
|
Style Transfer (Q)
|
96% |
207871
268.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5807
214.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37796
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50902
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2737
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4843
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4703
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4886
84.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7197
124.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7458
128.9 IPS |
