MacBook Pro (14-inch, 2023)
Geekbench AI Score
4076
Single Precision Score
26713
Half Precision Score
29826
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | genevera |
| Upload Date | September 09 2025 06:04 AM |
| Views | 3 |
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 | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
14357
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
17137
3.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1642
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19576
317.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24145
391.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12725
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
106260
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104237
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1660
131.7 IPS |
|
|
Object Detection (HP)
|
99% |
15870
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17899
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3417
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
34362
408.3 IPS |
|
|
Face Detection (Q)
|
100% |
41164
489.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6108
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88323
680.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
111447
870.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24729
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
202060
259.8 IPS |
|
|
Style Transfer (Q)
|
96% |
191809
247.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4968
183.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41802
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51016
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2375
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4018
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4027
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4332
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3791
65.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3993
69.0 IPS |
