MacBook Pro (16-inch, 2023)
Geekbench AI Score
15315
Single Precision Score
17579
Half Precision Score
16087
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 14 2025 01:44 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 | 3.65 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6820
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
6917
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6381
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13949
226.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14487
234.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13483
218.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
82536
96.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
88542
103.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
85580
100.2 IPS |
|
|
Object Detection (SP)
|
100% |
6462
512.5 IPS |
|
|
Object Detection (HP)
|
100% |
6592
522.9 IPS |
|
|
Object Detection (Q)
|
92% |
6142
490.2 IPS |
|
|
Face Detection (SP)
|
100% |
26728
317.6 IPS |
|
|
Face Detection (HP)
|
100% |
28574
339.5 IPS |
|
|
Face Detection (Q)
|
100% |
22954
272.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
32014
246.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
33312
256.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
31614
246.9 IPS |
|
|
Style Transfer (SP)
|
100% |
135992
174.8 IPS |
|
|
Style Transfer (HP)
|
100% |
155476
199.9 IPS |
|
|
Style Transfer (Q)
|
96% |
150792
194.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20143
743.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23865
881.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21299
786.5 IPS |
|
|
Text Classification (SP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4118
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4177
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2532
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3314
57.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2638
45.6 IPS |
