MacBook Pro (16-inch, 2021)
Geekbench AI Score
3642
Single Precision Score
13786
Half Precision Score
14125
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | rubicon |
| Upload Date | January 06 2026 03:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1330
247.4 IPS |
|
|
Image Classification (HP)
|
100% |
6069
1.13 KIPS |
|
|
Image Classification (Q)
|
99% |
6776
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1548
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7457
120.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
7497
121.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10479
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
66914
78.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
61250
71.8 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
99% |
6439
512.2 IPS |
|
|
Object Detection (Q)
|
91% |
6434
514.1 IPS |
|
|
Face Detection (SP)
|
100% |
3374
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
10562
125.5 IPS |
|
|
Face Detection (Q)
|
100% |
11196
133.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5713
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
40452
311.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
42826
331.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22004
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
112785
145.0 IPS |
|
|
Style Transfer (Q)
|
100% |
119193
153.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4118
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24616
909.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25275
936.4 IPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3922
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3946
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3093
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2734
47.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2771
47.9 IPS |
