MacBook Pro (16-inch, 2023)
Geekbench AI Score
4121
Single Precision Score
27150
Half Precision Score
30241
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 14 2025 08:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.68 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
14060
2.61 KIPS |
|
|
Image Classification (Q)
|
96% |
16956
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1640
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19911
322.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24795
401.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13014
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
106721
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105013
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1679
133.2 IPS |
|
|
Object Detection (HP)
|
99% |
15998
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
17318
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3495
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
35953
427.2 IPS |
|
|
Face Detection (Q)
|
100% |
46063
547.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6229
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87497
674.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
111066
867.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24784
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205748
264.5 IPS |
|
|
Style Transfer (Q)
|
96% |
193965
250.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5059
186.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42393
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50698
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2367
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4269
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4118
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4392
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3888
67.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4039
69.8 IPS |
