MacBook Pro (16-inch, 2021)
Geekbench AI Score
11758
Single Precision Score
12527
Half Precision Score
11584
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Fritzt |
| Upload Date | March 02 2025 07:01 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
5031
935.6 IPS |
|
|
Image Classification (HP)
|
100% |
5150
957.7 IPS |
|
|
Image Classification (Q)
|
97% |
4406
822.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10170
164.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10383
168.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10789
174.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
57181
66.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
60738
70.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
55500
65.1 IPS |
|
|
Object Detection (SP)
|
100% |
5208
413.1 IPS |
|
|
Object Detection (HP)
|
100% |
5326
422.5 IPS |
|
|
Object Detection (Q)
|
91% |
4647
371.3 IPS |
|
|
Face Detection (SP)
|
100% |
21142
251.2 IPS |
|
|
Face Detection (HP)
|
100% |
21999
261.4 IPS |
|
|
Face Detection (Q)
|
100% |
16718
198.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
26576
204.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
27392
211.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
23772
185.8 IPS |
|
|
Style Transfer (SP)
|
100% |
96958
124.6 IPS |
|
|
Style Transfer (HP)
|
100% |
120587
155.0 IPS |
|
|
Style Transfer (Q)
|
96% |
112953
145.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16781
619.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17678
652.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14310
528.4 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4034
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4023
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1571
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1374
23.7 IPS |
