MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4786
Single Precision Score
28631
Half Precision Score
33720
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | HoukCC |
| Upload Date | November 10 2024 04:01 PM |
| Views | 4 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1496
278.3 IPS |
|
|
Image Classification (HP)
|
100% |
7528
1.40 KIPS |
|
|
Image Classification (Q)
|
97% |
16896
3.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1827
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21772
352.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
27151
440.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16688
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120440
140.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
118767
139.2 IPS |
|
|
Object Detection (SP)
|
100% |
1992
158.0 IPS |
|
|
Object Detection (HP)
|
100% |
17186
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
16945
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
4015
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
38543
458.0 IPS |
|
|
Face Detection (Q)
|
100% |
48298
573.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7298
56.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
100633
775.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
114869
898.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30800
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
216427
278.2 IPS |
|
|
Style Transfer (Q)
|
96% |
211026
272.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5778
213.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38171
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50834
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2706
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4707
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4686
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4927
84.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7236
124.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7383
127.6 IPS |
