MacBook Pro (16-inch, 2021)
Geekbench AI Score
12128
Single Precision Score
13634
Half Precision Score
12745
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | jordanthomaswoods |
| Upload Date | January 07 2026 10:05 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
5164
960.3 IPS |
|
|
Image Classification (HP)
|
100% |
5063
941.7 IPS |
|
|
Image Classification (Q)
|
96% |
4743
885.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
11812
191.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12070
195.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11512
186.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
57096
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
62134
72.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
59375
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
5169
410.0 IPS |
|
|
Object Detection (HP)
|
100% |
5386
427.2 IPS |
|
|
Object Detection (Q)
|
92% |
4971
396.8 IPS |
|
|
Face Detection (SP)
|
100% |
21450
254.9 IPS |
|
|
Face Detection (HP)
|
100% |
22833
271.3 IPS |
|
|
Face Detection (Q)
|
100% |
19230
228.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26222
202.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
27746
213.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
25549
199.6 IPS |
|
|
Style Transfer (SP)
|
100% |
96759
124.4 IPS |
|
|
Style Transfer (HP)
|
100% |
122350
157.3 IPS |
|
|
Style Transfer (Q)
|
96% |
118571
153.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16708
616.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17441
644.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15680
579.0 IPS |
|
|
Text Classification (SP)
|
100% |
2360
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4282
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4139
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1783
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1875
32.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1857
32.1 IPS |
