MacBook Pro (14-inch, 2024)
Geekbench AI Score
22099
Single Precision Score
24639
Half Precision Score
22153
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | FamosGorilla |
| Upload Date | January 07 2025 12:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10551
1.96 KIPS |
|
|
Image Classification (HP)
|
100% |
10972
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
9041
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19934
323.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20866
338.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21418
347.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
107606
125.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
110534
129.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104262
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
9259
734.4 IPS |
|
|
Object Detection (HP)
|
100% |
10397
824.7 IPS |
|
|
Object Detection (Q)
|
91% |
8922
712.9 IPS |
|
|
Face Detection (SP)
|
100% |
40235
478.1 IPS |
|
|
Face Detection (HP)
|
100% |
42162
501.0 IPS |
|
|
Face Detection (Q)
|
100% |
32328
384.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
44699
344.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47758
367.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
40359
315.4 IPS |
|
|
Style Transfer (SP)
|
100% |
224466
288.6 IPS |
|
|
Style Transfer (HP)
|
100% |
242843
312.2 IPS |
|
|
Style Transfer (Q)
|
96% |
224305
289.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30935
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32617
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27427
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2986
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5381
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5357
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3556
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3652
62.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3676
63.5 IPS |
