MacBook Pro (14-inch, 2023)
Geekbench AI Score
14776
Single Precision Score
16386
Half Precision Score
15086
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 14 2025 01:00 PM |
| Views | 4 |
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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6432
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
6447
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
5941
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13850
224.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13532
219.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12890
208.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
81612
95.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
87898
102.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
84761
99.3 IPS |
|
|
Object Detection (SP)
|
100% |
6136
486.7 IPS |
|
|
Object Detection (HP)
|
100% |
6471
513.2 IPS |
|
|
Object Detection (Q)
|
92% |
6095
486.5 IPS |
|
|
Face Detection (SP)
|
100% |
26776
318.2 IPS |
|
|
Face Detection (HP)
|
100% |
28418
337.7 IPS |
|
|
Face Detection (Q)
|
100% |
24699
293.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
32509
250.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33715
259.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
30593
239.0 IPS |
|
|
Style Transfer (SP)
|
100% |
133660
171.8 IPS |
|
|
Style Transfer (HP)
|
100% |
151979
195.4 IPS |
|
|
Style Transfer (Q)
|
96% |
148588
191.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19085
704.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22233
821.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19841
732.6 IPS |
|
|
Text Classification (SP)
|
100% |
2391
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3970
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3979
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2096
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2189
37.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1742
30.1 IPS |
