MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4439
Single Precision Score
27103
Half Precision Score
29575
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | August 24 2024 08:25 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5327a) |
| 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% |
1495
278.1 IPS |
|
|
Image Classification (HP)
|
100% |
16149
3.00 KIPS |
|
|
Image Classification (Q)
|
99% |
16739
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1890
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13834
224.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
13900
225.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16756
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
116915
136.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
114890
134.8 IPS |
|
|
Object Detection (SP)
|
100% |
1949
154.6 IPS |
|
|
Object Detection (HP)
|
100% |
16526
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
19416
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
4112
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
24681
293.3 IPS |
|
|
Face Detection (Q)
|
100% |
36804
437.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7347
56.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
84145
648.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
88134
681.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30168
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
164281
211.2 IPS |
|
|
Style Transfer (Q)
|
100% |
164541
211.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5878
217.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40193
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
51787
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2748
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4838
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4815
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2187
37.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7470
129.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7414
128.1 IPS |
