MacBook Pro (16-inch, 2021)
Geekbench AI Score
3686
Single Precision Score
16466
Half Precision Score
16384
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ilhkg3sg1 |
| Upload Date | September 15 2025 11:13 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1334
248.1 IPS |
|
|
Image Classification (HP)
|
100% |
6902
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6622
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9699
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10438
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11054
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71654
83.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
67277
78.9 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
99% |
7941
631.7 IPS |
|
|
Object Detection (Q)
|
91% |
7429
593.6 IPS |
|
|
Face Detection (SP)
|
100% |
3300
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
16250
193.1 IPS |
|
|
Face Detection (Q)
|
100% |
15214
180.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5806
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
51645
397.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
53427
417.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21866
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120224
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
116754
150.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4365
161.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25646
947.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27818
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3984
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3939
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3195
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3733
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3882
67.1 IPS |
