MacBook Pro (14-inch, 2023)
Geekbench AI Score
12632
Single Precision Score
13800
Half Precision Score
10950
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | astrokari |
| Upload Date | August 17 2024 01:34 AM |
| Views | 6 |
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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6205
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
6403
1.19 KIPS |
|
|
Image Classification (Q)
|
99% |
5606
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10643
172.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10626
172.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
10440
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
62157
72.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
64845
75.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
57328
67.1 IPS |
|
|
Object Detection (SP)
|
100% |
5692
451.5 IPS |
|
|
Object Detection (HP)
|
100% |
6281
498.2 IPS |
|
|
Object Detection (Q)
|
91% |
5216
416.8 IPS |
|
|
Face Detection (SP)
|
100% |
25497
303.0 IPS |
|
|
Face Detection (HP)
|
100% |
25378
301.5 IPS |
|
|
Face Detection (Q)
|
100% |
17965
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
29068
223.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
29835
229.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
6026
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
114575
147.3 IPS |
|
|
Style Transfer (HP)
|
100% |
127851
164.4 IPS |
|
|
Style Transfer (Q)
|
100% |
126580
162.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19725
728.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20375
752.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15077
558.6 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3870
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3866
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1156
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1185
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1773
30.6 IPS |
