MacBook Pro (16-inch, 2023)
Geekbench AI Score
4106
Single Precision Score
28116
Half Precision Score
31227
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Luigi9212 |
| Upload Date | February 04 2026 11:06 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
15423
2.87 KIPS |
|
|
Image Classification (Q)
|
96% |
18335
3.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1718
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20370
330.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25059
406.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12040
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
107007
124.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105698
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
1629
129.2 IPS |
|
|
Object Detection (HP)
|
99% |
16271
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
17919
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3645
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
36981
439.4 IPS |
|
|
Face Detection (Q)
|
100% |
47831
568.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6128
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
89494
689.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
112743
881.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25682
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
207632
266.9 IPS |
|
|
Style Transfer (Q)
|
96% |
194068
250.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4834
178.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45370
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51938
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2450
3.27 KIPS |
|
|
Text Classification (HP)
|
99% |
4322
5.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4249
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4272
73.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4189
72.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4388
75.8 IPS |
