MacBook Pro (16-inch, 2021)
Geekbench AI Score
3745
Single Precision Score
16376
Half Precision Score
16472
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 25 2025 01:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1341
249.3 IPS |
|
|
Image Classification (HP)
|
100% |
6834
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6629
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9713
157.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10422
169.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11010
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
71679
83.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
67265
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
99% |
7907
629.0 IPS |
|
|
Object Detection (Q)
|
91% |
7531
601.7 IPS |
|
|
Face Detection (SP)
|
100% |
3219
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
14897
177.0 IPS |
|
|
Face Detection (Q)
|
100% |
15237
181.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5819
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
52593
405.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
54389
425.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22127
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
121484
156.2 IPS |
|
|
Style Transfer (Q)
|
96% |
117622
151.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4383
161.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26339
972.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27989
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2304
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4006
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4068
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3453
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3672
63.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3788
65.5 IPS |
