MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
15729
Single Precision Score
19635
Half Precision Score
17598
Quantized Score
Geekbench AI 1.2.0 Pro for macOS AArch64
Result Information
| User | stagnit8819 |
| Upload Date | January 23 2025 03:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.40 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7155
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7749
1.44 KIPS |
|
|
Image Classification (Q)
|
97% |
6726
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13857
224.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14764
239.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15152
245.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
66874
78.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
69813
81.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65709
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
7387
585.9 IPS |
|
|
Object Detection (HP)
|
100% |
7853
622.9 IPS |
|
|
Object Detection (Q)
|
91% |
6559
524.1 IPS |
|
|
Face Detection (SP)
|
100% |
26716
317.4 IPS |
|
|
Face Detection (HP)
|
100% |
30465
362.0 IPS |
|
|
Face Detection (Q)
|
100% |
22317
265.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
33455
257.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35497
273.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
30224
236.2 IPS |
|
|
Style Transfer (SP)
|
100% |
144386
185.6 IPS |
|
|
Style Transfer (HP)
|
100% |
160088
205.8 IPS |
|
|
Style Transfer (Q)
|
96% |
151123
195.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22021
813.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22963
847.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18796
694.0 IPS |
|
|
Text Classification (SP)
|
100% |
2742
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4838
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4800
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2430
41.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7061
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7053
121.9 IPS |
