MacBook Pro (16-inch, 2023)
Geekbench AI Score
4377
Single Precision Score
29665
Half Precision Score
33455
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 26 2026 08:39 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1374
255.6 IPS |
|
|
Image Classification (HP)
|
100% |
15389
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
18963
3.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1668
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20267
328.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25288
409.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11833
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
107693
125.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
106613
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
1647
130.7 IPS |
|
|
Object Detection (HP)
|
99% |
16465
1.31 KIPS |
|
|
Object Detection (Q)
|
89% |
18599
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
3721
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
38277
454.8 IPS |
|
|
Face Detection (Q)
|
100% |
51988
617.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6062
46.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
89133
686.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
114963
899.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25430
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
209968
269.9 IPS |
|
|
Style Transfer (Q)
|
96% |
192500
248.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5010
185.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44686
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51638
1.91 KIPS |
|
|
Text Classification (SP)
|
99% |
4566
6.09 KIPS |
|
|
Text Classification (HP)
|
99% |
7240
9.66 KIPS |
|
|
Text Classification (Q)
|
92% |
7187
9.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4407
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4119
70.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4327
74.8 IPS |
