MacBook Pro (16-inch, 2021)
Geekbench AI Score
11785
Single Precision Score
13400
Half Precision Score
12233
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 22 2025 04:38 AM |
| Views | 3 |
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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5055
940.0 IPS |
|
|
Image Classification (HP)
|
100% |
5171
961.6 IPS |
|
|
Image Classification (Q)
|
96% |
4703
878.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
11683
189.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12092
196.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11416
185.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
57003
66.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
62622
73.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
59473
69.7 IPS |
|
|
Object Detection (SP)
|
100% |
5115
405.7 IPS |
|
|
Object Detection (HP)
|
100% |
5381
426.8 IPS |
|
|
Object Detection (Q)
|
92% |
4960
395.9 IPS |
|
|
Face Detection (SP)
|
100% |
21461
255.0 IPS |
|
|
Face Detection (HP)
|
100% |
22575
268.2 IPS |
|
|
Face Detection (Q)
|
100% |
19054
226.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26311
202.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27771
214.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
25630
200.2 IPS |
|
|
Style Transfer (SP)
|
100% |
96522
124.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121542
156.2 IPS |
|
|
Style Transfer (Q)
|
96% |
119584
154.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16609
613.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17685
653.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15552
574.3 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4004
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4001
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1453
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1643
28.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1305
22.5 IPS |
