MacBook Pro (16-inch, 2021)
Geekbench AI Score
10480
Single Precision Score
11660
Half Precision Score
10881
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | fmejia01 |
| Upload Date | April 01 2025 08:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4494
835.7 IPS |
|
|
Image Classification (HP)
|
100% |
4608
856.9 IPS |
|
|
Image Classification (Q)
|
96% |
4231
790.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10190
165.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9929
161.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9537
154.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
47425
55.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
49529
57.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
47486
55.6 IPS |
|
|
Object Detection (SP)
|
100% |
4642
368.2 IPS |
|
|
Object Detection (HP)
|
100% |
4965
393.8 IPS |
|
|
Object Detection (Q)
|
92% |
4580
365.6 IPS |
|
|
Face Detection (SP)
|
100% |
18317
217.6 IPS |
|
|
Face Detection (HP)
|
100% |
18783
223.2 IPS |
|
|
Face Detection (Q)
|
100% |
16289
193.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
23670
182.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
24698
190.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
22496
175.9 IPS |
|
|
Style Transfer (SP)
|
100% |
80440
103.4 IPS |
|
|
Style Transfer (HP)
|
100% |
95258
122.5 IPS |
|
|
Style Transfer (Q)
|
96% |
92693
119.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16052
592.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15884
586.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14137
522.0 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4043
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
3992
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1235
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1455
25.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1384
23.9 IPS |
