MacBook Pro (16-inch, 2021)
Geekbench AI Score
3611
Single Precision Score
5964
Half Precision Score
4797
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 03 2025 06:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1328
247.0 IPS |
|
|
Image Classification (HP)
|
100% |
2079
386.6 IPS |
|
|
Image Classification (Q)
|
96% |
1513
282.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2599
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10417
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
23112
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17749
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1498
118.8 IPS |
|
|
Object Detection (HP)
|
97% |
2344
186.6 IPS |
|
|
Object Detection (Q)
|
94% |
1726
137.5 IPS |
|
|
Face Detection (SP)
|
100% |
3355
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
5487
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
3189
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5687
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10503
81.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7283
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22100
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34999
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27969
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4073
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5469
201.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4048
149.5 IPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
3970
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3989
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3089
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5110
88.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5115
88.4 IPS |
