MacBook Pro (16-inch, 2023)
Geekbench AI Score
15505
Single Precision Score
17437
Half Precision Score
15665
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 14 2025 08:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6779
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
6538
1.22 KIPS |
|
|
Image Classification (Q)
|
96% |
6364
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14575
236.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14051
227.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13286
215.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
81709
95.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
88443
103.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
85043
99.6 IPS |
|
|
Object Detection (SP)
|
100% |
6462
512.5 IPS |
|
|
Object Detection (HP)
|
100% |
6390
506.9 IPS |
|
|
Object Detection (Q)
|
92% |
6162
491.9 IPS |
|
|
Face Detection (SP)
|
100% |
28096
333.8 IPS |
|
|
Face Detection (HP)
|
100% |
27946
332.1 IPS |
|
|
Face Detection (Q)
|
100% |
23470
278.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
33128
255.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34823
268.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
31316
244.6 IPS |
|
|
Style Transfer (SP)
|
100% |
134761
173.2 IPS |
|
|
Style Transfer (HP)
|
100% |
155418
199.8 IPS |
|
|
Style Transfer (Q)
|
96% |
150333
194.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19429
717.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23672
874.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20626
761.6 IPS |
|
|
Text Classification (SP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4083
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4024
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2725
46.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3424
59.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2191
37.9 IPS |
