MacBook Pro (14-inch, 2023)
Geekbench AI Score
4081
Single Precision Score
6600
Half Precision Score
5223
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Toda |
| Upload Date | September 08 2025 10:56 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
2195
408.1 IPS |
|
|
Image Classification (Q)
|
96% |
1595
297.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1651
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2784
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12720
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
25341
29.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
19493
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
1642
130.2 IPS |
|
|
Object Detection (HP)
|
97% |
2705
215.3 IPS |
|
|
Object Detection (Q)
|
94% |
1916
152.7 IPS |
|
|
Face Detection (SP)
|
100% |
3435
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
5592
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3210
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5945
45.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10964
84.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7694
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25399
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39034
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30724
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5129
189.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6511
240.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4509
166.5 IPS |
|
|
Text Classification (SP)
|
100% |
2365
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3864
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3809
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4256
73.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7030
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6992
120.8 IPS |
