MacBook Pro (16-inch, 2023)
Geekbench AI Score
4122
Single Precision Score
27185
Half Precision Score
30381
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 25 2025 04:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
1392
258.9 IPS |
|
|
Image Classification (HP)
|
100% |
13997
2.60 KIPS |
|
|
Image Classification (Q)
|
96% |
16732
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1641
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19622
318.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24867
403.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13029
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
105837
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104891
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1682
133.4 IPS |
|
|
Object Detection (HP)
|
99% |
16206
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
17660
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3484
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
35553
422.4 IPS |
|
|
Face Detection (Q)
|
100% |
46017
546.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6113
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87611
675.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
110451
863.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25198
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
204380
262.7 IPS |
|
|
Style Transfer (Q)
|
96% |
190365
245.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5041
186.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42475
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50724
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2365
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4148
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4091
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4427
76.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4173
71.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4330
74.8 IPS |
