MacBook Pro (14-inch, 2023)
Geekbench AI Score
4153
Single Precision Score
27428
Half Precision Score
30555
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | September 03 2025 10:22 PM |
| Views | 4 |
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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1410
262.2 IPS |
|
|
Image Classification (HP)
|
100% |
15008
2.79 KIPS |
|
|
Image Classification (Q)
|
96% |
18358
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1651
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19937
323.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24737
401.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13058
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
105806
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104244
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1682
133.4 IPS |
|
|
Object Detection (HP)
|
99% |
15787
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17417
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3568
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
35433
421.0 IPS |
|
|
Face Detection (Q)
|
100% |
45566
541.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6139
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
88726
683.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
110625
864.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25109
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203692
261.8 IPS |
|
|
Style Transfer (Q)
|
96% |
189750
244.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5124
189.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41745
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49646
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2378
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4286
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4136
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4458
76.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4208
72.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4381
75.7 IPS |
