MacBook Pro (16-inch, 2021)
Geekbench AI Score
12632
Single Precision Score
14213
Half Precision Score
13286
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | WooYoung |
| Upload Date | June 04 2025 01:28 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.13 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5172
961.8 IPS |
|
|
Image Classification (HP)
|
100% |
5167
960.9 IPS |
|
|
Image Classification (Q)
|
96% |
4770
890.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
11905
193.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12278
199.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11704
189.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
57417
67.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
62772
73.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
59902
70.2 IPS |
|
|
Object Detection (SP)
|
100% |
5295
420.0 IPS |
|
|
Object Detection (HP)
|
100% |
5549
440.1 IPS |
|
|
Object Detection (Q)
|
92% |
5157
411.6 IPS |
|
|
Face Detection (SP)
|
100% |
21819
259.3 IPS |
|
|
Face Detection (HP)
|
100% |
22964
272.9 IPS |
|
|
Face Detection (Q)
|
100% |
19955
237.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27193
209.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
28547
219.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
26331
205.7 IPS |
|
|
Style Transfer (SP)
|
100% |
97492
125.3 IPS |
|
|
Style Transfer (HP)
|
100% |
122814
157.9 IPS |
|
|
Style Transfer (Q)
|
96% |
120266
155.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17006
628.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18109
668.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15858
585.6 IPS |
|
|
Text Classification (SP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3968
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3946
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2475
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2633
45.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2514
43.4 IPS |
