MacBook Pro (16-inch, 2021)
Geekbench AI Score
3635
Single Precision Score
14609
Half Precision Score
14629
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | vuthi |
| Upload Date | September 25 2025 06:24 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
1337
248.7 IPS |
|
|
Image Classification (HP)
|
100% |
5846
1.09 KIPS |
|
|
Image Classification (Q)
|
96% |
6057
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1553
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8863
143.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9409
152.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10462
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
69003
80.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65837
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1487
118.0 IPS |
|
|
Object Detection (HP)
|
99% |
7120
566.4 IPS |
|
|
Object Detection (Q)
|
91% |
6706
535.8 IPS |
|
|
Face Detection (SP)
|
100% |
3300
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
12862
152.8 IPS |
|
|
Face Detection (Q)
|
100% |
12327
146.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5613
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
43919
338.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
46811
365.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22056
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
117668
151.3 IPS |
|
|
Style Transfer (Q)
|
96% |
111032
143.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4132
152.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24254
895.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25575
944.4 IPS |
|
|
Text Classification (SP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4212
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4184
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3131
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2562
44.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2603
45.0 IPS |
