MacBook Pro (16-inch, 2021)
Geekbench AI Score
3629
Single Precision Score
14348
Half Precision Score
14279
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | adammurnane |
| Upload Date | October 29 2025 05:55 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1334
248.1 IPS |
|
|
Image Classification (HP)
|
100% |
5858
1.09 KIPS |
|
|
Image Classification (Q)
|
96% |
5648
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8704
141.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9317
151.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10457
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
66339
77.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
63820
74.8 IPS |
|
|
Object Detection (SP)
|
100% |
1524
120.9 IPS |
|
|
Object Detection (HP)
|
99% |
6718
534.4 IPS |
|
|
Object Detection (Q)
|
91% |
6455
515.8 IPS |
|
|
Face Detection (SP)
|
100% |
3353
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
12531
148.9 IPS |
|
|
Face Detection (Q)
|
100% |
12390
147.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5688
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
44011
339.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
45522
355.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22085
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
114293
146.9 IPS |
|
|
Style Transfer (Q)
|
96% |
107175
138.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4072
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24150
891.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25221
931.3 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
4046
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4070
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3092
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2643
45.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2620
45.3 IPS |
