MacBook Pro (14-inch, 2023)
Geekbench AI Score
14193
Single Precision Score
15743
Half Precision Score
12214
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 08:59 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,5 |
| Motherboard | Mac14,5 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6779
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
6955
1.29 KIPS |
|
|
Image Classification (Q)
|
99% |
6079
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12583
204.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12189
197.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
12200
197.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
83259
97.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
87278
101.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
76996
90.2 IPS |
|
|
Object Detection (SP)
|
100% |
6246
495.4 IPS |
|
|
Object Detection (HP)
|
100% |
6647
527.3 IPS |
|
|
Object Detection (Q)
|
91% |
5569
445.0 IPS |
|
|
Face Detection (SP)
|
100% |
27246
323.7 IPS |
|
|
Face Detection (HP)
|
100% |
27881
331.3 IPS |
|
|
Face Detection (Q)
|
100% |
20009
237.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
32670
251.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
33788
260.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
6604
51.1 IPS |
|
|
Style Transfer (SP)
|
100% |
133836
172.0 IPS |
|
|
Style Transfer (HP)
|
100% |
152259
195.7 IPS |
|
|
Style Transfer (Q)
|
100% |
150085
192.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20097
742.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20457
755.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15366
569.3 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3920
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3867
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1364
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1654
28.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1972
34.1 IPS |
