MacBook Pro (16-inch, 2023)
Geekbench AI Score
15376
Single Precision Score
17376
Half Precision Score
16844
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 14 2025 09:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.64 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6674
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
6890
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6372
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14140
229.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14203
230.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13583
220.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
82675
96.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
88895
103.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
86733
101.6 IPS |
|
|
Object Detection (SP)
|
100% |
6396
507.3 IPS |
|
|
Object Detection (HP)
|
100% |
6645
527.1 IPS |
|
|
Object Detection (Q)
|
92% |
6369
508.3 IPS |
|
|
Face Detection (SP)
|
100% |
26528
315.2 IPS |
|
|
Face Detection (HP)
|
100% |
28897
343.4 IPS |
|
|
Face Detection (Q)
|
100% |
25235
299.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
32901
253.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34891
268.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
31459
245.7 IPS |
|
|
Style Transfer (SP)
|
100% |
135325
174.0 IPS |
|
|
Style Transfer (HP)
|
100% |
155056
199.3 IPS |
|
|
Style Transfer (Q)
|
96% |
150599
194.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20345
751.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23721
875.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21195
782.6 IPS |
|
|
Text Classification (SP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4168
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4146
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2615
45.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2809
48.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3661
63.3 IPS |
