MacBook Pro (16-inch, 2021)
Geekbench AI Score
3690
Single Precision Score
5824
Half Precision Score
4698
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 28 2025 11:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
2026
376.8 IPS |
|
|
Image Classification (Q)
|
96% |
1502
280.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2298
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2608
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10973
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
22125
25.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17153
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1546
122.6 IPS |
|
|
Object Detection (HP)
|
97% |
2295
182.7 IPS |
|
|
Object Detection (Q)
|
94% |
1713
136.6 IPS |
|
|
Face Detection (SP)
|
100% |
3268
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
5066
60.2 IPS |
|
|
Face Detection (Q)
|
100% |
3088
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5722
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10114
78.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7036
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21850
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31976
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26624
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4385
161.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5950
219.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4056
149.8 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4062
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4028
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3200
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4802
83.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4825
83.4 IPS |
