MacBook Pro (14-inch, 2023)
Geekbench AI Score
2355
Single Precision Score
15013
Half Precision Score
16809
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Andoni22 |
| Upload Date | May 20 2025 06:25 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.45 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1091
202.9 IPS |
|
|
Image Classification (HP)
|
100% |
8026
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
8500
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
735
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5121
83.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8736
141.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11164
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
93030
108.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
88036
103.2 IPS |
|
|
Object Detection (SP)
|
100% |
1215
96.4 IPS |
|
|
Object Detection (HP)
|
99% |
9322
741.6 IPS |
|
|
Object Detection (Q)
|
93% |
10116
807.1 IPS |
|
|
Face Detection (SP)
|
100% |
2007
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
11898
141.4 IPS |
|
|
Face Detection (Q)
|
100% |
13502
160.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3810
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
55759
429.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
68613
536.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13233
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
146843
188.8 IPS |
|
|
Style Transfer (Q)
|
95% |
134349
173.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2315
85.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20741
765.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27824
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
1053
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
3996
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3916
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1957
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2022
34.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2008
34.7 IPS |
