MacBook Pro (16-inch, 2023)
Geekbench AI Score
16200
Single Precision Score
17793
Half Precision Score
16326
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | September 14 2025 10:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
7087
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7180
1.34 KIPS |
|
|
Image Classification (Q)
|
96% |
6534
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15308
248.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13923
225.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13354
216.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
82911
96.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
90226
105.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
88136
103.2 IPS |
|
|
Object Detection (SP)
|
100% |
6394
507.2 IPS |
|
|
Object Detection (HP)
|
100% |
6749
535.3 IPS |
|
|
Object Detection (Q)
|
92% |
6366
508.1 IPS |
|
|
Face Detection (SP)
|
100% |
28116
334.1 IPS |
|
|
Face Detection (HP)
|
100% |
29120
346.0 IPS |
|
|
Face Detection (Q)
|
100% |
24999
297.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
33195
255.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
34773
267.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
31459
245.7 IPS |
|
|
Style Transfer (SP)
|
100% |
137806
177.2 IPS |
|
|
Style Transfer (HP)
|
100% |
155773
200.2 IPS |
|
|
Style Transfer (Q)
|
96% |
152139
196.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20277
748.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23413
864.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20330
750.7 IPS |
|
|
Text Classification (SP)
|
100% |
2473
3.30 KIPS |
|
|
Text Classification (HP)
|
99% |
4276
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4141
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3357
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3309
57.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2729
47.2 IPS |
