MacBook Pro (M1 Max) - 2025_0515 MacBook Pro (16-inch, 2021)
Geekbench AI Score
3686
Single Precision Score
16451
Half Precision Score
16500
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Barritz |
| Upload Date | May 16 2025 02:53 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
6939
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6612
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9766
158.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10448
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11105
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70737
82.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
67980
79.7 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
99% |
8097
644.1 IPS |
|
|
Object Detection (Q)
|
91% |
7532
601.8 IPS |
|
|
Face Detection (SP)
|
100% |
3261
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
16296
193.6 IPS |
|
|
Face Detection (Q)
|
100% |
15259
181.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5746
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
52007
400.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
53944
421.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21766
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
121101
155.7 IPS |
|
|
Style Transfer (Q)
|
96% |
116233
150.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4314
159.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25988
959.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28285
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4018
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4025
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3190
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3491
60.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3884
67.1 IPS |
