MacBook Pro (16-inch, 2023)
Geekbench AI Score
4107
Single Precision Score
6942
Half Precision Score
5548
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | September 14 2025 10:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1381
256.7 IPS |
|
|
Image Classification (HP)
|
100% |
2342
435.6 IPS |
|
|
Image Classification (Q)
|
96% |
1695
316.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1696
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2533
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2956
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12033
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
26453
30.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
20671
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
1633
129.5 IPS |
|
|
Object Detection (HP)
|
97% |
2763
220.0 IPS |
|
|
Object Detection (Q)
|
94% |
1986
158.3 IPS |
|
|
Face Detection (SP)
|
100% |
3643
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
6051
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3466
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6063
46.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11382
88.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8061
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25278
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40038
51.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31905
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4956
183.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6492
239.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4516
166.7 IPS |
|
|
Text Classification (SP)
|
100% |
2473
3.30 KIPS |
|
|
Text Classification (HP)
|
99% |
4284
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4273
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4343
74.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7825
135.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7811
135.0 IPS |
