MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
15579
Single Precision Score
19496
Half Precision Score
17493
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | rinsxi |
| Upload Date | October 31 2024 02:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
7661
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
7582
1.41 KIPS |
|
|
Image Classification (Q)
|
97% |
6781
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13720
222.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14577
236.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15199
246.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
66813
78.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
69364
80.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65417
76.7 IPS |
|
|
Object Detection (SP)
|
100% |
7473
592.8 IPS |
|
|
Object Detection (HP)
|
100% |
7742
614.1 IPS |
|
|
Object Detection (Q)
|
91% |
6608
528.0 IPS |
|
|
Face Detection (SP)
|
100% |
26541
315.4 IPS |
|
|
Face Detection (HP)
|
100% |
30619
363.8 IPS |
|
|
Face Detection (Q)
|
100% |
23065
274.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
32861
253.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34767
267.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
28754
224.7 IPS |
|
|
Style Transfer (SP)
|
100% |
144347
185.6 IPS |
|
|
Style Transfer (HP)
|
100% |
160941
206.9 IPS |
|
|
Style Transfer (Q)
|
96% |
149586
193.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21939
810.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23183
856.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18501
683.1 IPS |
|
|
Text Classification (SP)
|
100% |
2723
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4772
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4711
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2135
36.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7055
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6969
120.4 IPS |
