MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4395
Single Precision Score
27027
Half Precision Score
29583
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | January 04 2025 04:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| 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% |
1503
279.5 IPS |
|
|
Image Classification (HP)
|
100% |
16118
3.00 KIPS |
|
|
Image Classification (Q)
|
99% |
16164
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16792
272.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
16731
271.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16774
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
116765
136.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
113208
132.8 IPS |
|
|
Object Detection (SP)
|
100% |
1987
157.6 IPS |
|
|
Object Detection (HP)
|
100% |
16216
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
18637
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
3879
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
22414
266.3 IPS |
|
|
Face Detection (Q)
|
100% |
36567
434.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7105
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
85083
655.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
90603
700.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30387
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
162657
209.1 IPS |
|
|
Style Transfer (Q)
|
100% |
163164
209.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5831
215.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40324
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
49751
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2715
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4698
6.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4774
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2184
37.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6907
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7008
121.1 IPS |
