MacBook Pro (16-inch, 2021)
Geekbench AI Score
3660
Single Precision Score
6025
Half Precision Score
4826
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Ricky8109 |
| Upload Date | September 21 2025 05:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
2058
382.7 IPS |
|
|
Image Classification (Q)
|
96% |
1507
281.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1574
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2310
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2613
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10473
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
23184
27.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17858
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
97% |
2370
188.7 IPS |
|
|
Object Detection (Q)
|
94% |
1716
136.8 IPS |
|
|
Face Detection (SP)
|
100% |
3380
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
5543
65.9 IPS |
|
|
Face Detection (Q)
|
100% |
3209
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5705
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10612
82.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7304
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21979
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35282
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28123
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4140
152.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5505
203.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4044
149.3 IPS |
|
|
Text Classification (SP)
|
100% |
2345
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4127
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4160
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3148
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5125
88.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5124
88.5 IPS |
