MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4803
Single Precision Score
7526
Half Precision Score
6387
Quantized Score
Geekbench AI 1.0.0 Pro for macOS AArch64
Result Information
| User | Tycho |
| Upload Date | August 21 2024 10:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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 | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1493
277.7 IPS |
|
|
Image Classification (HP)
|
100% |
2369
440.5 IPS |
|
|
Image Classification (Q)
|
99% |
2394
446.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2663
43.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
2713
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16636
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
28186
32.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
20871
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
1956
155.2 IPS |
|
|
Object Detection (HP)
|
97% |
2918
232.3 IPS |
|
|
Object Detection (Q)
|
94% |
2165
172.6 IPS |
|
|
Face Detection (SP)
|
100% |
4035
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
6695
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
3926
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7411
57.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13393
103.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
13339
103.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31021
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
44797
57.6 IPS |
|
|
Style Transfer (Q)
|
100% |
44235
56.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5890
217.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7850
289.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4918
182.2 IPS |
|
|
Text Classification (SP)
|
100% |
2800
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
5063
6.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4900
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4738
81.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7047
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6904
119.3 IPS |
