MacBook Pro (16-inch, 2021)
Geekbench AI Score
9859
Single Precision Score
10623
Half Precision Score
9445
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | saronian |
| Upload Date | January 25 2025 08:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
4436
825.0 IPS |
|
|
Image Classification (HP)
|
100% |
4531
842.6 IPS |
|
|
Image Classification (Q)
|
97% |
3735
697.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
8736
141.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8579
139.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8604
139.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
47446
55.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
49373
57.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
45650
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
4496
356.6 IPS |
|
|
Object Detection (HP)
|
100% |
4761
377.7 IPS |
|
|
Object Detection (Q)
|
91% |
4209
336.4 IPS |
|
|
Face Detection (SP)
|
100% |
18345
218.0 IPS |
|
|
Face Detection (HP)
|
100% |
19004
225.8 IPS |
|
|
Face Detection (Q)
|
100% |
13573
161.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
23522
181.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24283
187.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
20736
162.1 IPS |
|
|
Style Transfer (SP)
|
100% |
81074
104.2 IPS |
|
|
Style Transfer (HP)
|
100% |
95714
123.0 IPS |
|
|
Style Transfer (Q)
|
96% |
89855
116.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15887
586.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15938
588.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12561
463.8 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3953
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3927
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (Q)
|
98% |
734
12.7 IPS |
