MacBook Pro (16-inch, 2023)
Geekbench AI Score
15253
Single Precision Score
16992
Half Precision Score
15234
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | kei3000 |
| Upload Date | August 18 2025 01:57 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
6567
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
6708
1.25 KIPS |
|
|
Image Classification (Q)
|
96% |
6210
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13642
221.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13804
223.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12782
207.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
82378
96.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
88226
102.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
84927
99.5 IPS |
|
|
Object Detection (SP)
|
100% |
6380
506.1 IPS |
|
|
Object Detection (HP)
|
100% |
6632
526.1 IPS |
|
|
Object Detection (Q)
|
92% |
6194
494.4 IPS |
|
|
Face Detection (SP)
|
100% |
27465
326.3 IPS |
|
|
Face Detection (HP)
|
100% |
28365
337.0 IPS |
|
|
Face Detection (Q)
|
100% |
24204
287.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
33187
255.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
34143
263.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
31373
245.1 IPS |
|
|
Style Transfer (SP)
|
100% |
135187
173.8 IPS |
|
|
Style Transfer (HP)
|
100% |
153687
197.6 IPS |
|
|
Style Transfer (Q)
|
96% |
150039
193.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19702
727.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23162
855.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20592
760.4 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4067
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4042
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2534
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2642
45.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1701
29.4 IPS |
