MacBook Pro (14-inch, 2023)
Geekbench AI Score
14122
Single Precision Score
15313
Half Precision Score
14026
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Qiguanjiachen |
| Upload Date | June 11 2025 04:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.29 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6183
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
6432
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
5776
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11991
194.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12195
197.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11714
189.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
61975
72.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
65755
76.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
63412
74.3 IPS |
|
|
Object Detection (SP)
|
100% |
6047
479.6 IPS |
|
|
Object Detection (HP)
|
100% |
6213
492.8 IPS |
|
|
Object Detection (Q)
|
92% |
5769
460.5 IPS |
|
|
Face Detection (SP)
|
100% |
25195
299.4 IPS |
|
|
Face Detection (HP)
|
100% |
25955
308.4 IPS |
|
|
Face Detection (Q)
|
100% |
22416
266.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
29043
223.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
29632
228.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
27698
216.4 IPS |
|
|
Style Transfer (SP)
|
100% |
113690
146.2 IPS |
|
|
Style Transfer (HP)
|
100% |
129413
166.4 IPS |
|
|
Style Transfer (Q)
|
96% |
125542
162.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19627
724.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20758
766.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18201
672.1 IPS |
|
|
Text Classification (SP)
|
100% |
2395
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3885
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3922
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2905
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2757
47.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2140
37.0 IPS |
