MacBook Pro (16-inch, 2021)
Geekbench AI Score
11074
Single Precision Score
12850
Half Precision Score
11700
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 22 2025 04:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.18 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4737
881.0 IPS |
|
|
Image Classification (HP)
|
100% |
4749
883.2 IPS |
|
|
Image Classification (Q)
|
96% |
3878
724.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
11157
180.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11577
187.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11100
179.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
54833
64.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
59873
69.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
57338
67.2 IPS |
|
|
Object Detection (SP)
|
100% |
4126
327.3 IPS |
|
|
Object Detection (HP)
|
100% |
5056
401.1 IPS |
|
|
Object Detection (Q)
|
92% |
4041
322.5 IPS |
|
|
Face Detection (SP)
|
100% |
20199
240.0 IPS |
|
|
Face Detection (HP)
|
100% |
21433
254.7 IPS |
|
|
Face Detection (Q)
|
100% |
17727
210.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
25192
194.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
26804
206.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
24567
191.9 IPS |
|
|
Style Transfer (SP)
|
100% |
92300
118.7 IPS |
|
|
Style Transfer (HP)
|
100% |
116597
149.9 IPS |
|
|
Style Transfer (Q)
|
96% |
112489
145.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15858
585.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17019
628.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14842
548.1 IPS |
|
|
Text Classification (SP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4204
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4093
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1539
26.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1620
28.0 IPS |
