MacBook Pro (16-inch, 2023)
Geekbench AI Score
15470
Single Precision Score
17781
Half Precision Score
16190
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Luigi9212 |
| Upload Date | February 04 2026 11:10 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.64 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6880
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
7019
1.31 KIPS |
|
|
Image Classification (Q)
|
96% |
6380
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14856
240.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14745
239.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13559
219.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
82333
96.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
89965
105.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
87795
102.8 IPS |
|
|
Object Detection (SP)
|
100% |
6207
492.4 IPS |
|
|
Object Detection (HP)
|
100% |
6656
527.9 IPS |
|
|
Object Detection (Q)
|
92% |
6233
497.5 IPS |
|
|
Face Detection (SP)
|
100% |
27783
330.1 IPS |
|
|
Face Detection (HP)
|
100% |
28933
343.8 IPS |
|
|
Face Detection (Q)
|
100% |
25031
297.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
33134
255.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
34540
266.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
31429
245.5 IPS |
|
|
Style Transfer (SP)
|
100% |
135418
174.1 IPS |
|
|
Style Transfer (HP)
|
100% |
154986
199.2 IPS |
|
|
Style Transfer (Q)
|
96% |
150885
194.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18084
667.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23674
874.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20451
755.1 IPS |
|
|
Text Classification (SP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (HP)
|
99% |
4275
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4220
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2702
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3252
56.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2552
44.1 IPS |
