MacBook Pro (16-inch, 2023)
Geekbench AI Score
15656
Single Precision Score
17891
Half Precision Score
16572
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 01 2026 08:43 PM |
| Views | 4 |
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 | 3.65 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6940
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
6852
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6226
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13814
223.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14256
231.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13339
216.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
82904
96.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
89158
104.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
87097
102.0 IPS |
|
|
Object Detection (SP)
|
100% |
6369
505.2 IPS |
|
|
Object Detection (HP)
|
100% |
6753
535.6 IPS |
|
|
Object Detection (Q)
|
92% |
6402
511.0 IPS |
|
|
Face Detection (SP)
|
100% |
28887
343.2 IPS |
|
|
Face Detection (HP)
|
100% |
29995
356.4 IPS |
|
|
Face Detection (Q)
|
100% |
24810
294.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
33214
255.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34954
269.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
31606
246.9 IPS |
|
|
Style Transfer (SP)
|
100% |
134664
173.1 IPS |
|
|
Style Transfer (HP)
|
100% |
155002
199.3 IPS |
|
|
Style Transfer (Q)
|
96% |
150383
194.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20229
747.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23925
883.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21038
776.8 IPS |
|
|
Text Classification (SP)
|
100% |
2476
3.31 KIPS |
|
|
Text Classification (HP)
|
99% |
4295
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4172
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2701
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3423
59.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3260
56.3 IPS |
