MacBook Pro (14-inch, 2023)
Geekbench AI Score
4076
Single Precision Score
27137
Half Precision Score
30274
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Toda |
| Upload Date | September 08 2025 10:59 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.29 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
14519
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
17532
3.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20088
325.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24886
403.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12695
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
107046
124.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105340
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1647
130.6 IPS |
|
|
Object Detection (HP)
|
99% |
16168
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
17726
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3475
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
35592
422.9 IPS |
|
|
Face Detection (Q)
|
100% |
44140
524.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5883
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
88234
679.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
111173
868.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25256
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
208149
267.6 IPS |
|
|
Style Transfer (Q)
|
96% |
195566
252.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5136
189.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42416
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50916
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2352
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3844
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3812
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4227
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4026
69.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4262
73.7 IPS |
