MacBook Pro (16-inch, 2023)
Geekbench AI Score
15579
Single Precision Score
17425
Half Precision Score
16134
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 25 2025 05:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7073
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7157
1.33 KIPS |
|
|
Image Classification (Q)
|
96% |
6406
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15490
251.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15090
244.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
14380
233.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
81104
94.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
89928
104.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
88370
103.5 IPS |
|
|
Object Detection (SP)
|
100% |
6272
497.5 IPS |
|
|
Object Detection (HP)
|
100% |
6620
525.1 IPS |
|
|
Object Detection (Q)
|
92% |
6136
489.8 IPS |
|
|
Face Detection (SP)
|
100% |
28172
334.7 IPS |
|
|
Face Detection (HP)
|
100% |
29483
350.3 IPS |
|
|
Face Detection (Q)
|
100% |
25345
301.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
33310
256.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35356
272.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
31739
247.9 IPS |
|
|
Style Transfer (SP)
|
100% |
136051
174.9 IPS |
|
|
Style Transfer (HP)
|
100% |
155409
199.8 IPS |
|
|
Style Transfer (Q)
|
96% |
151724
195.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19731
728.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23105
853.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19831
732.3 IPS |
|
|
Text Classification (SP)
|
100% |
2376
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4017
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4049
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2526
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2670
46.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2442
42.2 IPS |
