MacBook Pro (16-inch, 2023)
Geekbench AI Score
15536
Single Precision Score
17247
Half Precision Score
15982
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | TallonRain |
| Upload Date | July 29 2025 01:17 AM |
| Views | 28 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6831
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
7066
1.31 KIPS |
|
|
Image Classification (Q)
|
96% |
6488
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14744
239.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13822
224.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13529
219.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
82371
96.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
88839
103.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
85958
100.7 IPS |
|
|
Object Detection (SP)
|
100% |
6512
516.6 IPS |
|
|
Object Detection (HP)
|
100% |
6760
536.2 IPS |
|
|
Object Detection (Q)
|
92% |
6351
507.0 IPS |
|
|
Face Detection (SP)
|
100% |
27783
330.1 IPS |
|
|
Face Detection (HP)
|
100% |
29107
345.9 IPS |
|
|
Face Detection (Q)
|
100% |
24196
287.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
33522
258.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
34424
265.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
31699
247.6 IPS |
|
|
Style Transfer (SP)
|
100% |
135804
174.6 IPS |
|
|
Style Transfer (HP)
|
100% |
155417
199.8 IPS |
|
|
Style Transfer (Q)
|
96% |
151557
195.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20454
755.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24043
887.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21137
780.5 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4029
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4059
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2543
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2633
45.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2275
39.3 IPS |
