MacBook Pro (16-inch, 2021)
Geekbench AI Score
13908
Single Precision Score
15384
Half Precision Score
14340
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | BGS |
| Upload Date | March 19 2026 09:39 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E241) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4980
926.1 IPS |
|
|
Image Classification (HP)
|
100% |
5169
961.3 IPS |
|
|
Image Classification (Q)
|
94% |
4741
886.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
11668
189.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11889
192.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11382
184.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
56866
66.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
61525
71.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
58984
69.1 IPS |
|
|
Object Detection (SP)
|
100% |
5047
400.3 IPS |
|
|
Object Detection (HP)
|
100% |
5249
416.4 IPS |
|
|
Object Detection (Q)
|
91% |
4967
397.0 IPS |
|
|
Face Detection (SP)
|
100% |
21740
258.3 IPS |
|
|
Face Detection (HP)
|
100% |
22889
272.0 IPS |
|
|
Face Detection (Q)
|
100% |
20620
245.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
26628
205.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
27891
214.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
25563
199.9 IPS |
|
|
Style Transfer (SP)
|
100% |
96635
124.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121642
156.4 IPS |
|
|
Style Transfer (Q)
|
96% |
118338
152.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16288
601.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17034
629.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15207
561.5 IPS |
|
|
Text Classification (SP)
|
100% |
4405
5.88 KIPS |
|
|
Text Classification (HP)
|
99% |
6816
9.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6785
9.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4047
69.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4152
71.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3615
62.5 IPS |
