MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2529
Single Precision Score
15749
Half Precision Score
17842
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 07:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6 (Build 23G80) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1149
213.6 IPS |
|
|
Image Classification (HP)
|
100% |
6877
1.28 KIPS |
|
|
Image Classification (Q)
|
97% |
7807
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
830
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6399
103.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12725
206.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15214
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
102827
120.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
100188
117.4 IPS |
|
|
Object Detection (SP)
|
100% |
1277
101.3 IPS |
|
|
Object Detection (HP)
|
100% |
9331
740.2 IPS |
|
|
Object Detection (Q)
|
93% |
9361
746.9 IPS |
|
|
Face Detection (SP)
|
100% |
2241
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
12756
151.6 IPS |
|
|
Face Detection (Q)
|
100% |
14970
177.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4532
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
59007
454.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
68584
536.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15901
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
147890
190.1 IPS |
|
|
Style Transfer (Q)
|
96% |
139646
180.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3437
126.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19088
704.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23214
857.2 IPS |
|
|
Text Classification (SP)
|
100% |
562
749.7 IPS |
|
|
Text Classification (HP)
|
100% |
3815
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3851
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1855
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2744
47.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2739
47.3 IPS |
