MacBook Pro (16-inch, 2021)
Geekbench AI Score
3714
Single Precision Score
5905
Half Precision Score
4721
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | lylehm |
| Upload Date | August 24 2025 04:49 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
2029
377.3 IPS |
|
|
Image Classification (Q)
|
96% |
1512
282.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1567
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2622
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11007
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21617
25.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17079
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2312
184.0 IPS |
|
|
Object Detection (Q)
|
94% |
1727
137.7 IPS |
|
|
Face Detection (SP)
|
100% |
3291
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5347
63.5 IPS |
|
|
Face Detection (Q)
|
100% |
3123
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5782
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10369
80.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7163
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22082
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32760
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26260
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4404
162.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6056
223.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4115
152.0 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4075
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4051
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3209
55.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4860
84.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4805
83.0 IPS |
